Breast cancer cell secretome analysis to decipher miRNA regulating the tumor microenvironment and discover potential biomarkers

Riley Feser; Reid M Opperman; Braydon Nault; Sujit Maiti; Vincent C Chen; Mousumi Majumder

doi:10.1016/j.heliyon.2023.e15421

Breast cancer cell secretome analysis to decipher miRNA regulating the tumor microenvironment and discover potential biomarkers

Heliyon. 2023 Apr 14;9(4):e15421. doi: 10.1016/j.heliyon.2023.e15421. eCollection 2023 Apr.

Authors

Riley Feser¹, Reid M Opperman¹, Braydon Nault¹, Sujit Maiti¹, Vincent C Chen², Mousumi Majumder¹

Affiliations

¹ Department of Biology, Brandon University, 3rd Floor, John R. Brodie Science Centre, 270 18th Street, Brandon, MB, Canada, R7A 6A9.
² Department of Chemistry, Brandon University, 4th Floor, John R. Brodie Science Centre, 270 18th Street, Brandon, MB, Canada, R7A 6A9.

Abstract

MicroRNA (miRNA/miR) 526 b- and miR655-overexpressed tumor cell-free secretions regulate the breast cancer tumor microenvironment (TME) by promoting tumor-associated angiogenesis, oxidative stress, and hypoxic responses. Additionally, premature miRNA (pri-miR526b and pri-miR655) are established breast cancer blood biomarkers. However, the mechanisms of how these miRNAs regulate the TME has yet to be investigated. Mass spectrometry analysis of miRNA-overexpressed cell lines MCF7-miR526b, MCF7-miR655, and miRNA-low MCF7-Mock cell-free secretomes identified 34 differentially expressed proteins coded by eight genes. In both miRNA-high cell secretomes, four markers are upregulated: YWHAB, SFN, TXNDC12, and MYL6B, and four are downregulated: PEA15, PRDX4, PSMB6, and FN1. All upregulated marker transcripts are significantly high in both total cellular RNA pool and cell-free secretions of miRNA-high cell lines, validated with quantitative RT-PCR. Bioinformatics tools were used to investigate these markers' roles in breast cancer. These markers' top gene ontology functions are related to apoptosis, oxidative stress, membrane transport, and motility supporting oncogenic miR526b- and miR655-induced functions. Gene transcription factor analysis tools were used to show how these miRNAs regulate the expression of each secretory marker. Data extracted from the Human Protein Atlas showed that YWHAB, SFN, and TXNDC12 expression could distinguish early and late-stage breast cancer in various breast cancer subtypes and are associated with poor patient survival. Additionally, immunohistochemistry analysis showed the expression of each marker in breast tumors. A stronger correlation between miRNA clusters and upregulated secretory markers gene expression was found in the luminal A tumor subtype. YWHAB, SFN, and MYL6B are upregulated in breast cancer patient's blood, showing biomarker potential. Of these identified novel miRNA secretory markers, SFN and YWHAB successfully passed all validations and are the best candidates to further investigate their roles in miRNA associated TME regulation. Also, these markers show the potential to serve as blood-based breast cancer biomarkers, especially for luminal-A subtypes.

Keywords: Bioinformatics; Biomarker; Breast cancer; Estrogen receptor-positive (ER+); Gene expression; Luminal A; MicroRNA; Secretome; Tumor microenvironment (TME); miR526b; miR655.